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Lady Justice: The impact of female judges on jury trial verdicts in North Carolina

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  • Foresta, Alessandra

Abstract

This study evaluates the impact of judges’ gender on jury trial outcomes in the U.S. state of North Carolina. The identification strategy is based on conditional random assignment of judges to cases. Specifically, I take advantage of the compulsory judges’ rotation imposed by the North Carolina Constitution. The results indicate that the presence of a female judge increases of 9.64–13.50 percentage points the probability of having at least one guilty verdict from the jury and of 9.5%–13.45% increase in the proportion of guilty verdicts expressed by the jury. Additionally, I perform a series of robustness and heterogeneity checks. I also investigate the potential mechanisms driving the results, exploring the influence of the jury selection process and women’s attitudes toward the courts and sentencing.

Suggested Citation

  • Foresta, Alessandra, 2025. "Lady Justice: The impact of female judges on jury trial verdicts in North Carolina," European Journal of Political Economy, Elsevier, vol. 88(C).
  • Handle: RePEc:eee:poleco:v:88:y:2025:i:c:s0176268025000382
    DOI: 10.1016/j.ejpoleco.2025.102678
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    References listed on IDEAS

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    1. Francis X. Flanagan, 2018. "Race, Gender, and Juries: Evidence from North Carolina," Journal of Law and Economics, University of Chicago Press, vol. 61(2), pages 189-214.
    2. Joshua B. Fischman & Max M. Schanzenbach, 2011. "Do Standards of Review Matter? The Case of Federal Criminal Sentencing," The Journal of Legal Studies, University of Chicago Press, vol. 40(2), pages 405-437.
    3. Mark Hoekstra & Brittany Street, 2021. "The Effect of Own-Gender Jurors on Conviction Rates," Journal of Law and Economics, University of Chicago Press, vol. 64(3), pages 513-537.
    4. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    5. Arnaud Philippe, 2020. "Gender Disparities in Sentencing," Economica, London School of Economics and Political Science, vol. 87(348), pages 1037-1077, October.
    6. Shamena Anwar & Patrick Bayer & Randi Hjalmarsson, 2019. "A Jury of Her Peers: The Impact of the First Female Jurors on Criminal Convictions," The Economic Journal, Royal Economic Society, vol. 129(618), pages 603-650.
    7. Christina L. Boyd & Lee Epstein & Andrew D. Martin, 2010. "Untangling the Causal Effects of Sex on Judging," American Journal of Political Science, John Wiley & Sons, vol. 54(2), pages 389-411, April.
    8. Shamena Anwar & Patrick Bayer & Randi Hjalmarsson, 2012. "The Impact of Jury Race in Criminal Trials," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(2), pages 1017-1055.
    9. Andrew V. Carter & Kevin T. Schnepel & Douglas G. Steigerwald, 2017. "Asymptotic Behavior of a t -Test Robust to Cluster Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 99(4), pages 698-709, July.
    10. Siddhartha Bandyopadhyay & Bryan McCannon, 2014. "The effect of the election of prosecutors on criminal trials," Public Choice, Springer, vol. 161(1), pages 141-156, October.
    11. Matthew Spitzer & Eric Talley, 2013. "Left, Right, and Center: Strategic Information Acquisition and Diversity in Judicial Panels," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 29(3), pages 638-680, June.
    12. Markus Nagler & Marc Piopiunik & Martin R. West, 2020. "Weak Markets, Strong Teachers: Recession at Career Start and Teacher Effectiveness," Journal of Labor Economics, University of Chicago Press, vol. 38(2), pages 453-500.
    13. Alessandra Foresta, 2022. "Beyond reasonable doubt: the impact of politically independent jurors on jury trials in the US," Discussion Papers 22/01, Department of Economics, University of York.
    14. Alma Cohen & Crystal S. Yang, 2019. "Judicial Politics and Sentencing Decisions," American Economic Journal: Economic Policy, American Economic Association, vol. 11(1), pages 160-191, February.
    15. Emily Leslie & Nolan G. Pope, 2017. "The Unintended Impact of Pretrial Detention on Case Outcomes: Evidence from New York City Arraignments," Journal of Law and Economics, University of Chicago Press, vol. 60(3), pages 529-557.
    16. Claire S.H. Lim & Bernardo S. Silveira & James M. Snyder, 2016. "Do Judges’ Characteristics Matter? Ethnicity, Gender, and Partisanship in Texas State Trial Courts," American Law and Economics Review, American Law and Economics Association, vol. 18(2), pages 302-357.
    17. repec:oup:alecon:v:18:y:2016:i:2:p:302-357. is not listed on IDEAS
    18. Simon Heß, 2017. "Randomization inference with Stata: A guide and software," Stata Journal, StataCorp LLC, vol. 17(3), pages 630-651, September.
    19. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    20. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    21. Thomas Fujiwara & Leonard Wantchekon, 2013. "Can Informed Public Deliberation Overcome Clientelism? Experimental Evidence from Benin," American Economic Journal: Applied Economics, American Economic Association, vol. 5(4), pages 241-255, October.
    22. Ulrika Ahrsjö & Susan Niknami & Mårten Palme, 2024. "Identity in Court Decision-Making," American Economic Journal: Economic Policy, American Economic Association, vol. 16(4), pages 142-164, November.
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    Keywords

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    JEL classification:

    • K10 - Law and Economics - - Basic Areas of Law - - - General (Constitutional Law)
    • K40 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - General
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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